Artificial intelligence (AI) is set to boost the global economy by $13 trillion by 2030, adding roughly 1.2% to global GDP a year (Source. McKinsey). While a number of countries are in race to be the first to adopt AI, USA and China are maintaining the lead .How will the global race change the world we live in? What must countries and cities do to increase AI adoption to gain global competitive advantage?

What countries must do to increase AI adoption?

What will be more important in future cities – automated domination or leadership?

The global big data market is expected to reach USD 123.2 billion by 2025* (Source, Grand View Research, Inc.) By 2020, we will create approximately 44 trillion gigabytes of data each year. From placing millions of sensor across cities to implementing open data initiatives, cities are increasing efforts to transform urban data into smart cities information. The key challenge cities are faced with when it comes to big data is how to make sense of it.

The edge VS the cloud

Defining edge computing opportunity

Innovative tools that cities can use to make sense of big data toimpact change?

How cities can use AI to make data driven decisions for their residents?

How can we empower citizens to leverage open data to resolve key city urban challenges

Dr. Noura Al Dhaheri

Carles Agusti i Hernàndez

11:00 am - 11:20 am COFFEE BREAK

11:20 am - 11:40 am SPEED NETWORKING

Imagine making more contacts in one hour than some people do in a career. Welcome to Speed Networking, an intensive session of one-minute mini meetings. It’s all about maximum impact, because after your one minute each way is up, the whistle blows, and you change partners!